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1 Ergebnisse
1
Causal Transfer Random Forest: Combining Logged Data and Ra..:
, In:
Proceedings of the 14th ACM International Conference on Web Search and Data Mining
,
Zeng, Shuxi
;
Bayir, Murat Ali
;
Pfeiffer III, Joseph J.
.. - p. 211-219 , 2021
Link:
https://dl.acm.org/doi/10.1145/3437963.3441722
RT T1 <cTitle>Proceedings of the 14th ACM International Conference on Web Search and Data Mining</cTitle>: T1 <Title>Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3441722&Exemplar=1&LAN=DE A1 Zeng, Shuxi A1 Bayir, Murat Ali A1 Pfeiffer III, Joseph J. A1 Charles, Denis A1 Kiciman, Emre PB ACM YR 2021 K1 causal learning K1 covariate shifts K1 random forest K1 robust prediction models K1 transfer learning K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms K1 Ensemble methods K1 Learning paradigms K1 Multi-task learning K1 Transfer learning SP 211 OP 219 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3437963.3441722 DO https://dl.acm.org/doi/10.1145/3437963.3441722 SF ELIB - SuUB Bremen
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